Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add artokun/comfyui-mcp --skill installer-packsgit clone --depth 1 https://github.com/artokun/comfyui-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/artokun/comfyui-mcp/installer-packs)<a href="https://agentmods.dev/skills/artokun/comfyui-mcp/installer-packs"><img src="https://agentmods.dev/badge/skills/artokun/comfyui-mcp/installer-packs/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/artokun/comfyui-mcp/installer-packs"><img src="https://agentmods.dev/badge/skills/artokun/comfyui-mcp/installer-packs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00055 | $0.00964 |
| Opus 5 | $0.00028 | $0.00482 |
| Sonnet 5 | $0.00011 | $0.00193 |
| Haiku 4.5 | $0.00006 | $0.00096 |
Grade A, and why
installer-packs scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
download lines (`curl`/`wget`/`:grab`, `%HF%`/`$HF` expansion, VRAM-tier Copies of this mod
1 near-identical copy found in the catalogue:
- installer-packs — 91% identical, 40 lines differ
How it starts
The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Installer Packs
comfyui-mcp ships installer packs under packs/. Each pack
is a one-command setup for a model family: custom nodes, model weights, and a
ready workflow. A single manifest.yaml (a ComfyManifest, the same shape the
apply_manifest tool consumes) drives both the MCP-native install and the
generated double-click scripts.
packs/<name>/
manifest.yaml # custom_nodes + models (url → local_path) — source of truth
pack.yaml # metadata: workflow, family, VRAM, sources, notes
workflow.json # the graph to load
install-windows.bat # GENERATED — never hand-edit
install-runpod.sh # GENERATED — never hand-edit
Installing a pack
- From a Claude session (MCP-native, idempotent):
apply_manifest --path packs/<name>/manifest.yaml(requiresCOMFYUI_PATH). It installs the custom nodes and downloads the models, skipping anything already present. - One-click for non-MCP users: run
packs/<name>/install-windows.bat(orinstall-runpod.sh) from a ComfyUI root. Then load the pack'sworkflow.json. - After install, check the pack's
pack.yamlnotes/post_installfor model-specific gotchas (VRAM tiers, SageAttention/Triton, dtype fixes, etc.).
Building or deriving a new pack
Two sources of ground truth, in order of preference:
- An upstream installer (
*-MODELS-NODES_INSTALL.bat/.sh). Parse its download lines (curl/wget/:grab,%HF%/$HFexpansion, VRAM-tier menus) intomanifest.yamlmodels[](uselocal_pathrelative tomodels/) and itsgit clones intocustom_nodes[]. Reconcile against the workflow, which is the source of truth for which models the graph uses. - A workflow alone (no installer). Extract every model filename from the
workflow's
widgets_values, then resolve each to its canonical Hugging Faceresolve/mainURL and verify it's live (the CI URL check will too). Never invent a URL. Flag what you can't resolve. Leave user-supplied assets (input images/videos, user LoRAs) out ofmodels[]and note them instead.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 79 lines · 55 tokens per session scan A 9f87ba35c207
installer-packs is a skill published in the GitHub repository artokun/comfyui-mcp (740 stars, last pushed 2d ago), licensed MIT. It adds 55 tokens to every session and 964 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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